Smart Shot

A short request can hide a product decision, architecture review, market comparison and implementation job at the same time. Starting too quickly can produce the wrong result very efficiently.

Smart Shot resolves consequential or ambiguous requests before committing to one interpretation. It selects specialists from the work itself, lets them gather evidence and create artifacts, then asks an independent reviewer to test whether the result actually meets the resolved intent.

Use it when

A decision changes architecture, cost, security or public behaviour.
The request contains words such as best, complete or high quality without a stable comparison.
Several professional domains need to agree on one result.
Execution is authorized, but the right output is still uncertain.

Example requests

Use smart-shot to analyze incident.io. Decide whether it fits our incident workflow, compare credible alternatives and recommend what we should do.

Use smart-shot to choose the best architecture for preserving two years of website intelligence under EUR 10 per month, implement the supported option and prove recovery works.

Use smart-shot to redesign this analytics page so it helps me decide where to invest. Use the right specialists, ship the improvement and verify it on real viewports.

What to expect

The skill turns consequential expectations into testable criteria, performs the authorized work and keeps unsupported completion claims open. It costs more time and model work than Fast Shot.

Install and source

npx skills@latest add simonasrazm/skills --skill smart-shot

Read the Smart Shot source or the skills.sh listing.